Summary
Yunzheng Zhu is a PhD candidate and graduate student researcher in Electrical and Computer Engineering at UCLA with a decade of experience applying machine learning and biomechanical modeling to medical image registration. His research spans deformable registration for lung CT, breast DBT/FFDM, and abdominal imaging, combining deep learning methods with anatomy-aware and physics-informed approaches for improved clinical accuracy. He previously tackled low-resource children's speech recognition using self-supervised and meta-learning techniques, reflecting a strong foundation in data-efficient ML. Yunzheng has industry research experience from HTC Vive where he analyzed physiological signals for VR applications, demonstrating an ability to translate technical methods into human-centered studies. Based in Los Angeles, he blends rigorous academic training with practical experimentation across imaging, speech, and biosignal domains. Colleagues note his knack for integrating domain knowledge into models, yielding solutions that respect both anatomical constraints and learning-based flexibility.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Penn State University
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of California, Los Angeles
Chinese, English